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Penn State Student Cracks 100-Year-Old Equation, Boosting Wind Turbine Efficiency

Penn State Student Cracks 100-Year-Old Equation, Boosting Wind Turbine Efficiency

Yahoo27-07-2025
A Penn State engineering student has cracked a 100-year-old aerodynamic puzzle, offering a refined approach that could transform wind turbine design.
Divya Tyagi, an undergraduate at the Schreyer Honors College, developed a solution that addresses gaps in a 1935 model by British aerodynamicist Hermann Glauert, providing engineers with a more robust tool for renewable energy innovation.
Glauert's original work established a theoretical limit for wind turbine power output but overlooked key forces, such as wind pressure and blade bending, that turbines encounter daily. Tyagi's research, rooted in calculus of variations, fills these gaps by calculating precise values for thrust and bending moment across various tip speed ratios — critical for modern turbine performance.
'I created an addendum to Glauert's problem, which determines the optimal aerodynamic performance of a wind turbine by solving for the ideal flow conditions,' Tyagi said, per a Penn State news release.
Her thesis, published in Wind Energy Science, earned her the Anthony E. Wolk Award for the best aerospace engineering project at Penn State.
Professor Sven Schmitz, her adviser and co-author, highlighted the breakthrough's scope.
'Glauert's original work focused only on the power coefficient. But turbines also have to survive physical loads, like wind pressure pushing against the blades,' he said, per The Brighter Side. 'Tyagi's method accounts for these forces and gives us a clearer picture of total aerodynamic performance.'
The simplicity of Tyagi's approach, using calculus of variations to optimize complex interactions, could benefit both classrooms and industry.
'The real impact will be on the next generation of wind turbines using the new knowledge that has been unveiled,' Schmitz added, according to Penn State. 'As for Divya's elegant solution, I think it will find its way into classrooms across the country and around the world.'
Tyagi noted the practical payoff: 'Improving the power coefficient of a large wind turbine by just 1% has significant impacts on the energy production of a turbine. … A 1% improvement in power coefficient could notably increase a turbine's energy output, potentially powering an entire neighborhood.'
Her work also enhances turbine durability, potentially reducing costs with lighter, longer-lasting designs.
Now pursuing a master's degree, Tyagi is tackling airflow around helicopter rotors for the U.S. Navy, using computational fluid dynamics to improve flight safety.
Reflecting on her undergraduate effort, she said, 'I would spend about 10 to 15 hours a week between the problem, writing the thesis, and on research. It took a long time because it was so math-intensive. But I feel really proud now, seeing all the work I've done.'
Schmitz, who had challenged four students with the problem over decades, credited Tyagi's persistence.
'There had to be an easier way to do it. That's when Divya came in. She was the fourth student I challenged with looking at it, and she was the only one who took it on. Her work is truly impressive.'
Her contribution could reshape wind energy as the industry seeks more efficient and resilient turbines.
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3 myths about metabolism could be holding you back
3 myths about metabolism could be holding you back

CNN

time23 minutes ago

  • CNN

3 myths about metabolism could be holding you back

EDITOR'S NOTE: The podcast Chasing Life With Dr. Sanjay Gupta explores the medical science behind some of life's mysteries big and small. You can listen to episodes here. (CNN)— Think speeding up your metabolism is key to losing weight? Metabolism has grown into one of the biggest buzzwords in the wellness industry — a tricky code that, if deciphered, is believed to unlock the secrets of weight loss and overall health. Despite the term's ubiquity, one scientist says many people don't understand much of how this basic bodily process works. 'They think it has something to do with how much food we can eat without gaining weight or something like that,' Dr. Kevin Hall told CNN Chief Medical Correspondent Dr. Sanjay Gupta recently on his podcast, Chasing Life. Hall wants to elevate metabolism for different reasons. 'Metabolism is just this incredible biochemical process that basically turns the food that we eat and the oxygen that we breathe into essentially … everything we are and everything we do,' he said. A leading nutrition and metabolism scientist, Hall is well-known for his research on contestants from the reality show 'The Biggest Loser' that helped explain what set participants who kept the weight off apart from those who gained it back. He spent more than two decades at the National Institutes of Health. His later work on ultraprocessed foods investigated its link to obesity, including one study that demonstrated it actively caused participants to overeat. Hall announced his early retirement and exit from NIH in April, citing censorship of how his research findings were communicated. He's now coauthor of the new book 'Food Intelligence: The Science of How Food Both Nourishes and Harms Us' alongside journalist Julia Belluz. 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Scientists initially tried to match up participants' caloric intake to their weight, but they didn't account for the fact that these calorie counts were self-reported. It turned out that those with obesity often underreported the number of calories they ate to a larger degree than their leaner counterparts. This, Hall said, 'led people to a conclusion that, well, if they're eating less calories and they're maintaining their weight, then they must be burning less calories. And maybe the reason why they have obesity is because they have slow metabolisms.' Modern technology now allows researchers to rely on data, not participants' own reports. 'When we actually directly measure people's metabolisms, people with obesity have higher metabolic rates on average than people who are lean,' Hall noted. But the myth that we should be boosting metabolism to treat obesity has stubbornly persisted — and has at times led to deadly consequences. When Stanford University researchers discovered that the chemical compound 2,4-dinitrophenol, or DNP, increased metabolism levels in the 1930s, they enthusiastically promoted it as a safe and effective tool for treating obesity. While DNP did boost metabolism, it also led to side effects that included blindness and death, causing federal drug regulators to quickly withdraw it from the market. 'Maybe,' Hall suggested, 'it shouldn't be too much of a surprise later to realize that with something so fundamentally important to life as metabolism, you can't just turn it up and turn it down with a pharmaceutical drug and not expect some pretty severe side effects, including death.' Like weight, age might not affect metabolism as much as you may assume. 'It turns out that until you get to very advanced ages, we're talking 70s and 80s, it looks like our metabolic rate is roughly constant,' Hall said. There are, of course, changes in the aging body that can impact metabolic rates. 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3 myths about metabolism could be holding you back
3 myths about metabolism could be holding you back

CNN

time23 minutes ago

  • CNN

3 myths about metabolism could be holding you back

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'Metabolism is just this incredible biochemical process that basically turns the food that we eat and the oxygen that we breathe into essentially … everything we are and everything we do,' he said. A leading nutrition and metabolism scientist, Hall is well-known for his research on contestants from the reality show 'The Biggest Loser' that helped explain what set participants who kept the weight off apart from those who gained it back. He spent more than two decades at the National Institutes of Health. His later work on ultraprocessed foods investigated its link to obesity, including one study that demonstrated it actively caused participants to overeat. Hall announced his early retirement and exit from NIH in April, citing censorship of how his research findings were communicated. He's now coauthor of the new book 'Food Intelligence: The Science of How Food Both Nourishes and Harms Us' alongside journalist Julia Belluz. Metabolism and weight loss enter conversations arm in arm, but this, according to Hall, can be reductive. 'I just find it incredibly frustrating sometimes that this idea of metabolism, this really beautiful physiological process that is so fundamental to life, is kind of talked about as, 'Oh well, if you take this supplement, you can boost your metabolism and lose weight,'' he explained to Gupta. You can listen to the full episode here. Is a faster or higher metabolism really the highway to weight loss? Hall is here to set the record straight, highlighting three misconceptions about metabolism that show there is more to it than meets the eye. One common belief is that a slower metabolism results in a higher body weight. But mostly, Hall said, the opposite is true. 'Generally, larger people have faster metabolisms than smaller people,' he told Gupta. Hall attributed the pervasiveness of this myth to the way researchers designed early metabolism studies. Scientists initially tried to match up participants' caloric intake to their weight, but they didn't account for the fact that these calorie counts were self-reported. It turned out that those with obesity often underreported the number of calories they ate to a larger degree than their leaner counterparts. This, Hall said, 'led people to a conclusion that, well, if they're eating less calories and they're maintaining their weight, then they must be burning less calories. And maybe the reason why they have obesity is because they have slow metabolisms.' Modern technology now allows researchers to rely on data, not participants' own reports. 'When we actually directly measure people's metabolisms, people with obesity have higher metabolic rates on average than people who are lean,' Hall noted. But the myth that we should be boosting metabolism to treat obesity has stubbornly persisted — and has at times led to deadly consequences. When Stanford University researchers discovered that the chemical compound 2,4-dinitrophenol, or DNP, increased metabolism levels in the 1930s, they enthusiastically promoted it as a safe and effective tool for treating obesity. While DNP did boost metabolism, it also led to side effects that included blindness and death, causing federal drug regulators to quickly withdraw it from the market. 'Maybe,' Hall suggested, 'it shouldn't be too much of a surprise later to realize that with something so fundamentally important to life as metabolism, you can't just turn it up and turn it down with a pharmaceutical drug and not expect some pretty severe side effects, including death.' Like weight, age might not affect metabolism as much as you may assume. 'It turns out that until you get to very advanced ages, we're talking 70s and 80s, it looks like our metabolic rate is roughly constant,' Hall said. There are, of course, changes in the aging body that can impact metabolic rates. 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'It's harnessing the continuous flow of matter and energy in our food and in our breath and powering every cell in our body, as well as the bodies and cells of practically every organism that we have ever encountered,' Hall said. 'It's a fundamental component of life, and it's just incredibly fascinating.' We hope these three insights help you understand your metabolism better. Listen to the full episode here. And join us next week for a new episode of Chasing Life.

Chai Discovery Announces $70 million Series A To Transform Molecular Design
Chai Discovery Announces $70 million Series A To Transform Molecular Design

Yahoo

timean hour ago

  • Yahoo

Chai Discovery Announces $70 million Series A To Transform Molecular Design

Fundraise follows foundation model breakthrough in fully de novo antibody design with the Chai-2 series of models Menlo Ventures-led round takes total funding to $100M Former Pfizer Chief Scientific Officer Mikael Dolsten, M.D., PhD., joins board SAN FRANCISCO, August 06, 2025--(BUSINESS WIRE)--Chai Discovery, the AI company that predicts and reprograms the interactions between biochemical molecules to accelerate life-changing therapeutics, today announced its $70 million Series A financing round. The fundraise was led by Menlo Ventures, including investment from their Anthology Fund, a joint partnership with Anthropic to identify and back promising AI companies, with participation from new investors Yosemite, DST Global Partners, SV Angel, Avenir, DCVC, and others. It also included existing investors Thrive Capital, OpenAI, Dimension, Neo, Lachy Groom, and Fred Ehrsam, among others. "Progress towards game-changing drugs and treatments is far too slow, stymied by costly trial-and-error experiments," said Joshua Meier, CEO and co-founder. "Chai Discovery exists to push the boundaries of what's possible in this field, applying frontier AI to transform biology from science to engineering, so that breakthroughs can be designed rather than simply discovered." Chai was founded in 2024 by Joshua Meier (ex AI drug discovery firm Absci; Facebook AI; OpenAI), Jack Dent (ex Eng and Product leader at Stripe), and AI researchers Matthew McPartlon and Jacques Boitreaud. Mikael Dolsten M.D., PhD., the former Pfizer Chief Scientific Officer responsible for advancing 150 molecules into clinical trials and delivering 36 approved medicines, is joining the company's board of directors. "I'm proud to join Chai Discovery and redefine biology from science into engineering," Dr. Dolsten said. "This is going to be an incredible journey with an incredible team." Last year, the company closed a $30 million seed round led by Thrive Capital, OpenAI, and Dimension. Soon after, they released Chai-1, an open-source foundation model for molecular structure prediction that performs at the state-of-the-art Last month, the team unveiled a further leap in AI-driven drug discovery with their Chai‑2 breakthrough, delivering fully de novo antibody design with a near-20% hit rate. By contrast, traditional lab based methods often have to screen millions to billions of antibodies to find hits, and the previous state of the art for computational methods was only 0.1%. When inputting only the target antigen and epitope, Chai‑2 can generate successful binders from scratch against a wide variety of targets. This means that scientists working on a target antigen, a specific disease-causing protein such as a virus or type of cancer, can use Chai-2 to design, from scratch, completely new antibodies that can hit the right spot. "Before Chai-2, the process was not unlike searching a giant bunch of keys for the right fit for a lock—but there are millions of keys," said Matthew McPartlon, co-founder. "Now, it's like having a master locksmith design exactly the right shape key, based only on your description of the lock. A company had spent more than three years and over $5m on a problem. With Chai-2, we were able to find an experimentally validated solution within two weeks." The funding will be used to further develop the Chai platform, applying it toward previously inaccessible targets, and onboarding select partners. "Chai is an exceptional technical team building foundation models for biology to transform drug discovery," said Greg Yap, Partner at Menlo Ventures. "Chai-2 demonstrates amazing progress in antibody design, and we have seen a meaningful fraction of the biotech industry already apply for Chai-2 access. At Menlo, we invest deeply in both AI foundation models and technology-enabled biology–we believe Chai can help create better medicines faster." For more information on Chai Discovery and its platform, visit About Chai Discovery Chai Discovery builds frontier artificial intelligence to predict and reprogram the interactions between biochemical molecules, the fundamental building blocks of life. Its mission is to transform biology from science into engineering. The team hails from pioneering research and applied AI companies such as OpenAI, Meta FAIR, Stripe, and Google X, and is backed by top investors including OpenAI, Thrive Capital, Menlo Ventures and Dimension. View source version on Contacts press@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

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